fastICA

Addison Wesley出版的一本深入讲解c++面向对象编程机理的书，对于c++程序员进一步全面了解面向对象机制的好书。书中有丰富的程序实例和解读。英文版(Inside the C++ Object Model focuses on the underlying mechanisms that support object-oriented programming within C++: constructor semantics, temporary generation, support for encapsulation, inheritance, and "the virtuals"-virtual functions and virtual inheritance. This book shows how your understanding the underlying implementation models can help you code more efficiently and with greater confidence. Lippman dispells the misinformation and myths about the overhead and complexity associated with C++, while pointing out areas in which costs and trade offs, sometimes hidden, do exist. He then explains how the various implementation models arose, points out areas in which they are likely to evolve, and why they are what they are. He covers the semantic implications of the C++ object model and how that model affects your programs..)

正弦信号的频谱图形，短小的编码程序，用matlab实现。可实现简单频谱图(Sinusoidal signal spectrum graphics, short of coding procedures, using matlab realize. Can realize a simple frequency spectrum)

说明：  PCA和SVM的电磁模板分析攻击PCA and SVM for electromagnetic analysis attack templates(PCA and SVM for electromagnetic analysis attack templates)

粒子群优化参数的LSSVM，并对啤酒数据进行分类(PSO LS SVM parameters, data classification and beer)

MATLAB/Simulink环境下搭建的光伏并网系统模型、、P/Q控制、、(MATLAB/Simulink environment to build a grid connected photovoltaic system model, P/Q control,,)

用于解反问题的共轭梯度法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x(Solution of inverse problems for the conjugate gradient method, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x)

IMPEDANCE SOURCE INVERTER FEEDING R LOAD WITH REDUCED THD COMPARED TO VSI

自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。 在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。 二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。 BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods. Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs. Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)

核函数方法及其在过程控制中的应用研究,主要总结了我国与国外的核函数研究现状(kernel function method and the process control of applied research, the main conclusion of our country and abroad kernel Research)

matlab code for simulation wimax technology and verify resultats